Stats Package Comparison

A fun post exploring the differences between a number of statistical computation packages. As one of the commenters said, this is an awesome flame war! The comments are very informative, with all sorts of historical information explaining how and why certain packages turned out the way they are. I use JMP at work, which is owned by SAS, but is not near as common as these other packages. JMP is pretty easy to use, and looks good, which is its major selling point. I find that I often with other programs were as good at making and analyzing graphs as JMP is. JMP is excellent for exploratory data analysis. However, it is less powerful than most of the packages analyzed in the post, so it will probably remain a smaller player.

h/t John D. Cook

Quick R

A really hand reference site for R commands to do things that ought to be easy but aren't.

Quick R

R Tips and Tricks

My practice with R has been slow of late, but I have put up some R snippets, mostly as a reminder to myself. Here are 5 sites that have R tips, tricks, and easy explanations. I find that the documentation linked on the R project website to be less than useful if you just want to say, know how to make a log plot. These sites are better for that kind of thing.

Useful Functions and Commands

Paul Johnson's R page

Li Chen's R page

Quantitative Ecology

One R Tip a Day